{"id":"W3037610158","doi":"10.32920/ryerson.14669106.v1","title":"Design With Nature 2.0 – A Geodata Infrastructure Approach to Map Overlay","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Geospatial analysis; Overlay; Thematic map; Computer science; Spatial data infrastructure; Hazard map; Geographic information system; World Wide Web; Data science; Geography; Spatial analysis; Information retrieval; Cartography; Hazard; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009686093,0.0003432815,0.0005228251,0.0002023242,0.0005794137,0.0007428829,0.0007690833,0.0009122473,0.000317376],"category_scores_gemma":[0.0001786326,0.000265851,0.0001149447,0.0006820093,0.0001667252,0.0002022138,0.00112972,0.001118236,0.00001907366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388153,"about_ca_system_score_gemma":0.0008984385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002550489,"about_ca_topic_score_gemma":0.001650611,"domain_scores_codex":[0.9971244,0.0002851344,0.0003703005,0.0006014249,0.001135389,0.0004833868],"domain_scores_gemma":[0.9978043,0.00009110499,0.0002424356,0.0007855957,0.0008865932,0.0001899875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000924981,0.0001950723,0.01291047,0.001622274,0.002062431,0.00005286399,0.4521057,0.03304038,0.00001504885,0.104763,0.391324,0.001816196],"study_design_scores_gemma":[0.0006339785,0.00005802036,0.01704259,0.0008015133,0.0001741878,0.00002657752,0.4045978,0.0003373288,0.00005096425,0.00170299,0.5725571,0.002017006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00906444,0.001710693,0.2621126,0.00577467,0.003600184,0.004805668,0.0001701925,0.0005147939,0.7122468],"genre_scores_gemma":[0.743309,0.0001550608,0.241897,0.002852508,0.0007210015,0.0004872918,0.0005027748,0.00004399344,0.01003138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7342445,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0215494646201291,"score_gpt":0.2777617887494703,"score_spread":0.2562123241293413,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}